
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "0"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 88 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 84 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	84.615936	100.578902	148.616071	182.788588	35.152546	36.614107	94.669538	111.763186	0.0186	0.0162	0.0019	1.171177	1.158413
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	61.996435	165.920175	168.078765	213.689384	76.190317	72.858014	225.648434	306.183446	0.0197	0.0164	0.0030	1.182917	1.173204
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	5.337574	25.818319	56.323328	88.584472	51.477599	35.855484	63.925419	47.252761	0.0202	0.0164	0.0040	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	52.432533	136.656277	184.336232	247.353123	58.095360	80.475929	246.490935	514.110191	0.0193	0.0164	0.0028	1.166782	1.143878
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	175.390113	318.794557	195.529045	254.825778	43.992353	58.721934	313.227803	279.388403	0.0175	0.0164	0.0011	1.216018	1.207811
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	77.999565	236.586712	161.111780	225.583104	40.786541	68.849665	154.400176	324.420273	0.0173	0.0163	0.0013	1.169742	1.153452
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	89.818501	171.218603	220.548041	270.860069	41.542113	40.135248	80.291440	56.139333	0.0177	0.0165	0.0011	1.249829	1.239051
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	114.208711	176.024978	311.927419	354.465520	75.795495	96.080938	561.544603	655.807629	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	96.116702	271.857581	60.503631	85.747223	17.704523	24.838670	357.357357	677.709769	0.0182	0.0162	0.0021	1.163777	1.150040
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	56.627125	86.643997	45.603400	54.526776	14.246760	13.042422	718.647256	892.944386	0.0187	0.0165	0.0014	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	82.228663	133.340903	240.892742	293.663167	16.933880	41.095711	131.229238	216.515403	0.0187	0.0165	0.0016	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	52.005636	100.619924	78.033319	95.230166	34.589991	66.032574	290.893960	443.551062	0.0182	0.0169	0.0009	0.883948	0.875529
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	42.216518	88.858321	65.618603	84.987737	42.038771	85.459490	264.132861	466.931831	0.0187	0.0164	0.0027	1.215582	1.201590
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	52.238026	136.090402	70.898401	93.373948	26.275934	47.909585	217.190860	437.996541	0.0191	0.0163	0.0030	1.187508	1.173888
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	50.965693	92.620600	83.511298	96.950032	43.894427	61.794569	383.674883	484.975065	0.0177	0.0164	0.0012	1.235020	1.223997
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	57.827573	109.778562	103.436345	112.521214	70.052478	82.848976	839.898854	822.653178	0.0175	0.0164	0.0010	1.228651	1.222314
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	7.304712	12.217052	34.557841	48.811697	195.437056	355.101098	979.076028	1751.677574	0.0185	0.0164	0.0019	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	56.318413	170.320096	69.971034	119.454498	33.334915	254.848761	297.206559	937.340616	0.0194	0.0167	0.0023	1.168957	1.151929
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	63.065413	185.676787	63.739960	97.094668	52.036068	137.206070	568.135777	1128.887191	0.0182	0.0164	0.0021	0.794786	0.782686
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	33.718593	84.057821	57.595395	74.342185	27.607159	47.772263	47.019544	71.824372	0.0183	0.0165	0.0014	0.000000	0.000000
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	50.411502	88.666919	57.064912	70.897707	57.443068	75.736079	253.459831	377.795054	0.0180	0.0165	0.0016	0.764029	0.755518
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	44.585886	96.347432	91.292500	118.031181	39.687841	104.186672	410.149595	624.008199	0.0186	0.0165	0.0019	0.000000	0.000000
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	61.781947	120.125202	62.528239	82.683022	59.313524	126.838780	1113.520290	1703.987813	0.0175	0.0166	0.0012	1.070034	1.063039
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	6.041425	14.406173	33.574498	60.295076	216.775964	404.418956	1119.685428	2394.343706	0.0184	0.0166	0.0020	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	62.402954	107.499401	74.416859	83.274152	24.422894	25.091900	548.729591	662.045783	0.0174	0.0164	0.0010	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	66.362632	96.389605	82.661878	85.605786	37.595127	33.062709	54.431397	52.441117	0.0170	0.0162	0.0008	0.770583	0.760051
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	55.745434	115.931010	78.346442	103.454723	53.991789	91.858114	296.085787	543.577227	0.0183	0.0161	0.0018	0.000000	0.000000
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	2.744448	2.744448	2.569265	2.569265	0.646598	0.646598	0.135260	0.135260	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	42.509954	90.277244	71.157883	91.046561	10.405254	23.264784	202.587725	385.029836	0.0178	0.0162	0.0015	1.126809	1.116656
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	48.072840	93.517532	143.797043	180.162990	41.249406	64.424473	407.125155	691.143004	0.0179	0.0162	0.0017	1.125404	1.108567
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	41.243622	77.848780	38.401738	45.686778	17.708153	25.277492	256.259877	391.835260	0.0170	0.0161	0.0009	1.152692	1.147690
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	30.603790	75.387171	33.472588	44.004905	10.330649	18.465688	334.645937	521.920162	0.0177	0.0162	0.0013	1.067054	1.054378
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	33.227756	69.209694	35.509390	43.044531	9.539518	10.881636	232.860155	329.104257	0.0183	0.0161	0.0017	0.817606	0.809437
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	39.152793	93.739468	38.592785	51.022111	7.958714	18.743439	263.909464	530.760033	0.0183	0.0160	0.0025	1.187574	1.177616
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	73.919666	108.043419	88.872683	98.591841	54.430923	94.427153	719.184680	762.183280	0.0175	0.0162	0.0012	1.240733	1.241407
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0183	0.0165	0.0023	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	49.540204	108.878851	78.674737	100.476563	32.335223	72.231188	697.045024	1327.320712	0.0180	0.0163	0.0013	1.163304	1.156820
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0178	0.0163	0.0015	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0176	0.0162	0.0016	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	60.887718	111.456331	114.933138	140.809703	73.206768	118.484150	521.639902	838.925542	0.0176	0.0162	0.0013	0.000000	0.000000
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	59.688329	66.883653	53.128865	51.404642	27.482329	30.355070	523.327508	491.110962	0.0180	0.0162	0.0012	1.184681	1.182738
2459550	RF_maintenance	-	97.53%	97.53%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0561	0.0548	0.0013	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	55.364610	91.292582	87.729888	104.732022	45.479424	80.116793	535.393678	880.447377	0.0181	0.0163	0.0017	1.128619	1.119164
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	58.937683	101.767339	169.397111	190.623534	6.310513	7.321204	389.754908	512.733015	0.0172	0.0163	0.0010	1.205797	1.197914
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.921793	10.724044	42.712738	43.570946	626.831745	642.260843	51.220323	34.966313	0.0185	0.0169	0.0019	1.154052	1.146139
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	46.410948	85.684918	38.806430	44.436772	29.431980	31.341093	203.000520	218.219475	0.0180	0.0163	0.0012	1.007220	0.998839
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	100.694071	174.192122	149.314517	181.427471	64.358348	110.387411	784.486638	1455.644813	0.0175	0.0162	0.0011	1.092992	1.084000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	43.629758	78.944787	36.929822	45.105699	43.681440	37.988912	254.101041	434.354056	0.0176	0.0164	0.0013	1.203067	1.199096
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	37.164052	64.923543	34.696369	40.003233	25.489047	37.708411	237.762706	304.849338	0.0177	0.0163	0.0011	1.176551	1.172771
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	55.650926	116.510788	77.781749	97.641803	34.061534	62.137103	458.958128	823.220566	0.0179	0.0162	0.0018	1.196105	1.182537
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	68.438422	140.303162	104.381920	138.328829	57.696025	83.418139	418.268217	682.397684	0.0181	0.0162	0.0015	1.281400	1.265779
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	46.709522	74.742351	35.541760	39.824999	23.300355	35.377201	357.047636	368.300058	0.0172	0.0164	0.0009	1.168456	1.166533
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	53.862121	138.432519	118.698862	161.484905	143.399162	270.689956	350.136605	714.927865	0.0179	0.0160	0.0011	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	57.619278	193.190421	103.713718	173.239874	30.650233	166.193489	359.488407	1321.161468	nan	nan	nan	1.492878	1.483681
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	57.031157	99.600448	109.912964	130.645470	147.364398	177.495393	573.693537	760.696218	0.0182	0.0162	0.0014	1.111879	1.094029
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	8.046167	16.176754	34.837545	48.925197	202.382596	538.422133	961.737029	1685.404884	0.0193	0.0163	0.0024	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	70.348110	133.771263	123.051832	142.080703	121.595803	102.398229	146.950172	160.788907	0.0179	0.0162	0.0015	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	55.098729	141.599391	92.233379	134.888629	43.571540	184.219466	344.581494	1015.742264	0.0112	0.0063	0.0099	1.008110	0.999121
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	70.423993	121.947051	176.215683	216.674121	75.439578	85.576907	640.555687	1111.593140	0.0082	0.0058	0.0098	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 0 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 0, Node 0:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 0: 2459612

Antenna 0: 2459611

Antenna 0: 2459610

Antenna 0: 2459609

Antenna 0: 2459608

Antenna 0: 2459607

Antenna 0: 2459605

Antenna 0: 2459604

Antenna 0: 2459603

Antenna 0: 2459602

Antenna 0: 2459598

Antenna 0: 2459597

Antenna 0: 2459596

Antenna 0: 2459595

Antenna 0: 2459594

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Antenna 0: 2459590

Antenna 0: 2459589

Antenna 0: 2459588

Antenna 0: 2459587

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Antenna 0: 2459585

Antenna 0: 2459584

Antenna 0: 2459583

Antenna 0: 2459582

Antenna 0: 2459581

Antenna 0: 2459580

Antenna 0: 2459579

Antenna 0: 2459578

Antenna 0: 2459577

Antenna 0: 2459576

Antenna 0: 2459575

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Antenna 0: 2459573

Antenna 0: 2459572

Antenna 0: 2459571

Antenna 0: 2459570

Antenna 0: 2459569

Antenna 0: 2459566

Antenna 0: 2459565

Antenna 0: 2459564

Antenna 0: 2459563

Antenna 0: 2459562

Antenna 0: 2459561

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Antenna 0: 2459559

Antenna 0: 2459558

Antenna 0: 2459556

Antenna 0: 2459552

Antenna 0: 2459551

Antenna 0: 2459549

Antenna 0: 2459542

Antenna 0: 2459541

Antenna 0: 2459540

Antenna 0: 2459536

Antenna 0: 2459535

Antenna 0: 2459534

Antenna 0: 2459533

Antenna 0: 2459532

Antenna 0: 2459530

Antenna 0: 2459527

Antenna 0: 2459524

Antenna 0: 2459523

Antenna 0: 2459522

Antenna 0: 2459513

Antenna 0: 2459508

Antenna 0: 2459506

Antenna 0: 2459505

Antenna 0: 2459503

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶